In recent years, many applications have been developed using face recognition, such as identification systems and security systems. But many researchers have proposed age-classification systems based on facial images. For more than 20 years, gender classification has been one of the most research topics in this area [1]}. The classification of age using the face is one of the tasks in the vision of human and computer, which is the basis for many applications such as forensics or social media [2]}. Human age is one of the most important personal traits which can be deduced directly through different patterns appear on the face that has recently been used in biometrics, cosmetology and security control, but it is still a difficult and interesting field. It is known that there are some general changes when people get older in age from childhood to adulthood such as the size of the face and the shape of the eye, nose, mouth, eyebrows, and lips [3]}. Age and gender play key roles in social interactions, but they still face some challenges, notably extreme blur (low-resolution), expressions, occlusions, etc [4]}.
